Distributed simultaneous state and parameter estimation of nonlinear systems

被引：0

作者：

Liu, Siyu ^{[1
,2
]}

Yin, Xunyuan ^{[3
]}

Liu, Jianbang ^{[4
]}

Liu, Jinfeng ^{[2
]}

Ding, Feng ^{[1
]}

机构：

[1] School of Internet of Things Engineering, Jiangnan University, Wuxi,214122, China

[2] Department of Chemical & Materials Engineering, University of Alberta, Edmonton,AB,T6G 1H9, Canada

[3] School of Chemical and Biomedical Engineering, Nanyang Technological University, 62 Nanyang Drive, Singapore,637459, Singapore

[4] School of Electrical and Information Engineering, Jiangsu University, Zhenjiang,212013, China

来源：

Chemical Engineering Research and Design | 2022年 / 181卷

关键词：

Community structure detections - Decomposition methods - Distributed estimation - Entire system - Interconnected subsystems - Moving horizon estimator - Nonlinear process - Process decompositions - Simultaneous state and parameter estimation - Subsystem decomposition;

D O I：

暂无

中图分类号：

学科分类号：

摘要：

In this paper, we consider distributed simultaneous state and parameter estimation for a class of nonlinear systems, for which the augmented model comprising both the states and the parameters is only partially observable. Specifically, we first illustrate how the sensitivity analysis (SA) can select variables for simultaneous state and parameter estimation. Then, a community structure detection (CSD) based process decomposition method is proposed for dividing the entire system into interconnected subsystems as the basis of distributed estimation. Next, we develop local moving horizon estimators based on the configured subsystem models, and the local estimators communicate with each other to exchange their estimates. Finally, an SA and CSD based distributed moving horizon estimation (DMHE) mechanism is proposed. The effectiveness of the proposed approach is illustrated using a chemical process consisting of four connected reactors. © 2022 Institution of Chemical Engineers

引用

页码：74 / 86

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